Banking Risk Exposure
In this paper we model banking risk exposure in a non-linear VAR framework. We included banking aggregates such as write-offs, provisions expenses, and total loans. Overall fitting of the model is good for chilean data. In and out sample forecasts are better than a simple ARIMA model. Given this we consider that the model provides a good input for stress testing analysis of Chilean banking system.
Year of publication: |
2008-11
|
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Authors: | Alfaro, Rodrigo ; Calvo, Daniel ; Oda, Daniel |
Institutions: | Banco Central de Chile |
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